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Updated: Jul 31, 2025

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
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PAE viewer: a webserver for the interactive visualization of the predicted aligned error for multimer structure
Christoph Elfmann1, Jörg Stülke1
1Department of General Microbiology, Georg-August-University Göttingen, GZMB, 37077 Göttingen, Germany.
Nucleic Acids Research
|May 4, 2023
Summary
PAE Viewer is a new webserver for visualizing protein complex structures predicted by AlphaFold-Multimer. It integrates Predicted Aligned Error (PAE) and cross-linking data for intuitive quality assessment.
Area of Science:
- Structural biology
- Computational biology
- Bioinformatics
Background:
- AlphaFold revolutionized protein structure prediction, with AlphaFold-Multimer extending this to protein complexes.
- Interpreting the quality of predicted complex structures is challenging for non-specialists.
- A dedicated tool for evaluating predicted complex structures, unlike monomeric predictions, was lacking.
Purpose of the Study:
- To develop an online tool for visualizing and evaluating the quality of predicted protein complex structures.
- To integrate Predicted Aligned Error (PAE) metrics and experimental cross-linking data for enhanced interpretation.
Main Methods:
- Development of the PAE Viewer webserver.
- Integration of 3D structure display with interactive PAE visualization.
- Incorporation of experimental cross-linking data for reliability assessment.
Main Results:
- The PAE Viewer provides an intuitive online platform for assessing protein complex predictions.
- The tool combines 3D structure visualization with interactive PAE representation.
- Integration of cross-linking data enhances the interpretation of prediction reliability.
Conclusions:
- PAE Viewer offers a novel solution for the intuitive evaluation of protein complex structure predictions.
- The webserver aids researchers in understanding the quality and reliability of AlphaFold-Multimer outputs.
- This tool addresses a critical need in structural biology for interpreting complex structural models.
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